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13. What does a correlation coefficient of r = - 0.97 generally imply about the graph of a data set? *
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A) The slope is positive, and a linear model is a good fit for the data.
B) The slope is negative, and a linear model is a good fit for the data.
C) The slope is positive, and a linear model is NOT a good fit for the data.
D) The slope is negative, and a linear model is NOT a good fit for the data.

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The answer is B. The closer the r value is to 1 or -1, the better the fit is. If the r value is negative, the slope is negative. If the r value is positive, the slope is positive.
samueladesida43

The correlation coefficient of r = - 0.97 generally imply that the slope is negative, and a linear model is a good fit for the data.

What is correlation coefficient?

Correlation coefficient, denoted by r, is a number between -1 and 1 that tells you the strength and direction of a relationship between variables.

The closer the correlation coefficient of a relationship is to 1, the stronger the relationship and vice versa.

Also, a negative correlation coefficient denotes a negative relationship and hence, a negative slope.

Therefore, a correlation coefficient of r = - 0.97 generally imply that the slope is negative, and a linear model is a good fit for the data.

Learn more about correlation coefficient at: https://brainly.com/question/15577278

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